How do I find my CODING Team Domain?

Your team domain is the unique URL you use to access CODING, typically in the format `your-team.coding.net`. You can find it in your browser's address bar when logged in.

How do I generate a Personal Access Token (PAT)?

Log in to CODING, go to [Personal Settings] → [Access Tokens], and click on [New Token]. Ensure you grant the necessary permissions for the resources you want to manage.

Can I access multiple repositories in a project?

Yes. Use the `list_repos` tool with your project name to see all available Git depots. You can then use `get_repo` or `list_branches` with specific repository names.

Coding.net MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Coding.net
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Coding.net through Vinkius, pass the Edge URL in the `mcps` parameter and every Coding.net tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Coding.net Specialist",
    goal="Help users interact with Coding.net effectively",
    backstory=(
        "You are an expert at leveraging Coding.net tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Coding.net "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Coding.net MCP Server

Empower your AI agent to orchestrate your entire software development lifecycle with CODING (Coding.net), the premier DevOps platform in China. By connecting CODING to your agent, you transform complex project management, code repository auditing, and issue tracking into a natural conversation. Your agent can instantly list projects, retrieve detailed Git repository metadata, browse active merge requests, and monitor issue progress without you ever needing to navigate the comprehensive CODING web interface. Whether you are conducting a code review or coordinating a cross-functional release, your agent acts as a real-time DevOps assistant, keeping your development data accurate and your team moving.

When paired with CrewAI, Coding.net becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Coding.net tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Project Orchestration — List all DevOps projects and retrieve detailed metadata for each organizational unit.
Repository Auditing — Browse Git depots, list branches, and retrieve detailed commit information.
Issue Tracking — List and retrieve detailed information about project tasks and bugs to monitor velocity.
Collaboration Monitoring — List active merge requests to identify blockers and pending reviews.
User Insights — Retrieve profile information for organization members and the authenticated user.

The Coding.net MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Coding.net to CrewAI via MCP

Follow these steps to integrate the Coding.net MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Coding.net

Why Use CrewAI with the Coding.net MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Coding.net through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Coding.net + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Coding.net MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Coding.net for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Coding.net, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Coding.net tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Coding.net against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Coding.net MCP Tools for CrewAI (10)

These 10 tools become available when you connect Coding.net to CrewAI via MCP:

get_commit

Get commit details

get_issue

Get issue details

get_project

Get project details

get_repo

Get repository details

get_user

Get current user profile

list_branches

List repository branches

list_issues

List project issues

list_mrs

List merge requests

list_projects

List DevOps projects

list_repos

List project repositories

Example Prompts for Coding.net in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Coding.net immediately.

"List all my DevOps projects on CODING."

"Show me the latest issues for project 'Alpha'."

"Get the branches for repository 'main-api' in project 'Alpha'."

Troubleshooting Coding.net MCP Server with CrewAI

Common issues when connecting Coding.net to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Coding.net + CrewAI FAQ

Common questions about integrating Coding.net MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.